istosandClaude Opus 5 f428ee0468 sessions: persist who a session was, so a replayed run is not "You"
"You" was the else-branch of session_label: anything the board could not
attribute to an agent it attributed to the person. Every session read back
from disk was one of those, because the agent id lived only in the session
registry and never reached the persisted events — so past agent runs came
back wearing the human's label, carrying their own closing reports
underneath it.

Identity is now a small whole file beside each event log
(state/sessions/<id>.who.json): agent id, the agent's name, the model it
rode, and the task. A file rather than a key on the events, because the
logs are append-only JSONL whose first line every reader takes for an
event — and because the name and the model are nowhere in the stream, so
this is the only thing a restart can read them back from. It is rewritten
only when what the board knows changes, which also covers an agent id that
arrives on a later event.

load_disk_sessions() reads it back, and the label now has three registers
instead of two: the agent's name (persisted, so a restart no longer costs
it), "You" only for a session positively recorded as carrying no agent,
and a neutral "Session · <id>" for a log written before any of this was
recorded. Old logs are not retro-attributed in either direction.

agentFor() in board.html falls back to the persisted identity when this
board no longer holds the live record, so a replayed agent session wears
its model chip from what was written rather than from what happens to be
in memory. What depends on liveness (Hold, the worktree branch) finds
nothing there and stays silent, as before.

tests/test_session_identity.py drives the real ingest → persist → reload
path and the page's own chip functions in node.

Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
2026-07-31 16:35:19 +02:00
2026-07-31 16:26:02 +02:00
2026-07-31 15:09:02 +02:00
2026-07-30 07:40:17 +02:00

Bench

A live kanban for coding-agent work: task files in stage directories are the only source of truth; a stdlib-only board narrates everything that happens to them — agents working in git worktrees, PRs opening on review, CI and Copilot state on the cards, drives of the app from a task's own branch, and an archive that is never a delete. Turn on team mode (BOARD_SYNC=1) and the truth is origin/main: moves commit and push themselves, every board pulls on a beat, and the person who claimed a card first keeps it.

Install into a repo

mkdir .task-manager && curl -L \
  https://github.com/12vectors/bench/releases/latest/download/bench.tar.gz \
  | tar -xz -C .task-manager
./.task-manager/start.sh        # wires the project (idempotent) and serves

No token, no clone: releases are curated artifacts that never contained bench's own cards or settings, so the board starts empty by construction.

The first run asks three questions it cannot answer for you — solo or team, which agent adapter, what command runs your tests — and writes manager/local/.env from the documented example, so every other setting is discoverable in your own copy. Bare Enter takes the default throughout; with no terminal (CI, a script) it asks nothing and install.py --setup asks later.

Commit .task-manager/ into the host repo — core is vendored on purpose, so clones work offline and updates show up in the host's own diffs.

The workflow brief ships as .task-manager/AGENTS.md — the cross-vendor name coding agents read natively — with CLAUDE.md beside it as a one-line compatibility pointer. Both live inside .task-manager/, so a host repo's own root AGENTS.md is never touched.

Update

./.task-manager/update.sh              # latest release
BENCH_REF=v2 ./.task-manager/update.sh # an exact release tag

The artifact is stamped with the repo it was built from, so updating needs no configuration; BENCH_SOURCE=<owner/repo> in manager/local/.env overrides the stamp. Updates replace manager/core/ and the top-level scripts wholesale and touch nothing else — tasks, plans, reference, and everything under manager/local/ (your driver, commands, prompt overrides, settings, state) survive every update. Then python3 .task-manager/install.py and restart the board. If the source repo has no published release yet, update.sh says so and changes nothing.

Working on bench itself

git clone git@github.com:12vectors/bench.git && cd bench && ./start.sh

A clone carries bench's own cards and local/ content — that is dev mode, not an install. (Installing from a clone anyway works: install.py clears the shipped cards on its first boot in a host repo.) Releases are built by ./release.sh from the manifest at manager/core/release-manifest: tag = v<VERSION>, one stable asset name (bench.tar.gz), contents at the tarball root — the two things the install one-liner above depends on.

The three-layer law

Core knows about tasks, worktrees, PRs and events. It knows nothing about any particular app (drivers do: manager/local/driver/start), agent vendor (adapters do: manager/core/adapters/), or project (manager/local/ does).

The consequence is what makes an update safe: update.sh replaces manager/core/ wholesale, and everything a project taught bench about itself lives outside it. Full docs in AGENTS.md; the adapter contract in manager/core/adapters/README.md.

License

MIT.

S
Description
Bench is a local task manager that integrates with coding agents to make it easier to manage work in a repo.
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